Publication: Iot-based heat stroke detection device
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Date
2020-08-01
Authors
Teo, Wil Son
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Abstract
Increase in global temperature recently has led to heat stroke which can greatly harm the human body. Although there are heat stroke detection devices developed previously, the problem arose because it did not analyze the effect of surrounding temperature and relative humidity on the detection of heat stroke. Besides, user was unable to check his/her current condition during outdoor activity due to the absence of user-end monitoring system. To solve these problems, a wearable IoT-based heat stroke detection device was developed in this project. This device measures heartbeat rate, surrounding temperature, relative humidity and core body temperature by using suitable sensors and then generates a quantitative heat stroke risk level via Fuzzy controller. In addition, an alert module was implemented in this device to alert the user during high heat stroke risk level. Next, ThingSpeak server was chosen and an android application was developed to store, visualize and display the data to user numerically and graphically. 5-phase performance test which are standing, walking, running, walking and standing phases is carried out to evaluate device performance. The results showed that potential heat stroke was detected when heat stroke risk level was above 25 under the conditions of thermal heat stroke risk coefficient (THSRC) above 37.5, core body temperature above 38.5°C and heartbeat rate above 135 bpm. Besides, this device was capable to detect potential heat stroke and alert the user earlier before heat stroke. Therefore, this wearable IoT-based heat stroke detection device allow user to carry out activity under hot temperature environment without worrying as the device will alert the user whenever potential heat stroke is detected.